Research Article
Dimensional and Layout Optimization Design of Multistage Gear Drives Using Genetic Algorithms
Table 4
The optimization results out of 30 repeat GA runs for each test case.
| Test cases | Constraint handling methods | Calculation methods of DOICV | Number of infeasible solutions | Optimized objective function (×106 mm3) | Best | Average | Worst |
| Case 1 | SP | PCD | 30 | | | | Case 2 | SP | PCD | 0 | 8.2487 | 8.4801 | 8.6830 | Case 3 | SP | PCD | 0 | 8.2370 | 8.4344 | 8.5844 | Case 4 | SP | PCD | 1 | 8.1950 | 8.4042 | 8.5682 | Case 5 | SP | (0, 1) | 1 | 8.2416 | 8.4246 | 8.5962 | Case 6 | SOAPS-II | PCD | 0 | 8.1637 | 8.3321 | 8.4196 | Case 7 | SOAPS-II | (0, 1) | 0 | 8.2159 | 8.4079 | 8.5318 | Case 8 | RM | PCD | 0 | 7.9015 | 8.1276 | 8.2859 | Case 9 | RM | (0, 1) | 0 | 7.9987 | 8.1552 | 8.3195 |
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